References
- Adler, R. F., G. J. Huffman, and P. R. Keehn, 1994. Global tropical rain estimates from microwave-adjusted geosynchoronous IR data. Remote Sensing Reviews 11(1-4):125-152. doi:10.1080/02757259409532262.
- Adler, R. F., G. J. Huffman, A. Chang, R. Ferraro, P. P. Xie, J. Janowiak, B. Rudolf, U. Schneider, S. Curtis, D. Bolvin, A. Gruber, J. Sussskind, P. Arkin, and E. Nelkin, 2003. The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present). Journal of Hydrometeorology 4(6): 1147-1167. doi:10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2.
- AghaKouchak, A., A. Behrangi, S. Sorooshian, K. Hsu, and E. Amitai, 2011. Evaluation of satellite-retrieved extreme precipitation rates across the central United States. Journal of Geophysical Research 116(D02115). doi:10.1029/2010JD014741.
- Arkin, P., and P. Ardanuy, 1989. Estimating climatic-scale precipitation from space: A review. Journal of Climate 2(11): 1229-1238. doi:10.1002/wrcr.20307.
- Baik, J., J. Park, K. Kim, and M. Choi, 2018. Assessment and merging technique for GPM satellite precipitation product using ground based measurement. Journal of Korea Water Resources Association 51(2): 131-140. doi:10.3741/JKWRA.2018.51.2.131.
- Cho, H., S. Hawng, Y. Cho, and M. Choi, 2013. Analysis of spatial precipitation field using downscaling on the Korean peninsula. Journal of Korea Water Resources Association 46(11): 1129-1140. doi:10.3741/JKWRA.2013.46.11.1129.
- Cho, J., C. G. Kim, S. Hwang, J. Shin, and J. Park, 2019. Hydrologic evaluation of grid-based global climate data for use in ungauged watershed. Journal of Climate Change Research 10(1): 23-34. doi:10.15531/KSCCR.2019.10.1.23.
- Dinku, T., C. Funk, P. Peterson, R. Maidment, T. Tadesse, H. Gadain, and P. Ceccato, 2018. Validation of the CHIRPS satellite rainfall estimates over eastern Africa. Quarterly Journal of the Royal Meteorological Society 144(Suppl.1):292-312. doi:10.1002/qj.3244.
- Duan, Z., J. Liu, Y. Tuo, G. Chiogna, and M. Disse, 2016. Evaluation of eight high spatial resolution gridded precipitation products in Adige Basin (Italy) at multiple temporal and spatial scales. Science of the Total Environment 573: 1536-1553. doi:10.1016/j.scitotenv.2016.08.213.
- Faiz, M. A., D. Liu, Q. Fu, M. U. Qamar, M. I. Khan, F. Baig, T. Li, and S. Cui, 2017. Stream flow variability and drought severity in the Songhua River Basin, Northeast China. Stochastic Environmental Research and Risk Assessment 32(5): 1225-1242. doi:10.1007/s00477-017-1463-3.
- Faiz, M. A., D. Liu, F. Qiang, D. Wrzesiński, F. Baig, G. Nabi, M. I. Khan, T. Li, and S. Cui, 2018a. Extreme precipitation and drought monitoring in northeastern China using general circulation models and pan evaporation-based drought indices. Climate Research 74(3): 231-250. doi:10.3354/cr01503.
- Faiz, M. A., D. Liu, Q. Fu, S. Qiaohong, M. Li, F. Baig, T. Li, and S. Cui, 2018b. How accurate are the performances of gridded precipitation data products over Northeast China? Atmospheric Research 211: 12-20. doi:10.1016/j.atmosres.2018.05.006.
- Funk, C., and J. Verdin, 2010. Real-time decision support systems: The famine early warning system network. In: Gebremichael M., Hossain F. (eds) Satellite Rainfall Applications for Surface Hydrology. Springer, Dordrecht: 295-320. doi:10.1007/978-90-481-2915-7_17.
- Funk, C., G. J. Husak, J. Michaelsen, S. Shukla, A. Hoell, B. Lyon, M. P. Hoerling, B. Liebmeann, T. Zhang, J. Verdin, G. Galu, G. Eilerts, and J. Rowland, 2013. Attribution of 2012 and 2003-12 rainfall deficits in eastern Kenya and southern Somalia. Bulletin of the American Meteorological Society 94(9): S45-S48. doi:10.1175/BAMS-D-13-00085.1.
- Funk, C. C., P. J. Peterson, M. F. Landsfeld, D. H. Pedreros, J. P. Verdin, J. D. Rowland, B. E. Romero, G. J. Husak, J. C. Michaelsen, and A. P. Verdin, 2014. A quasi-global precipitation time series for drought monitoring. U.S. Geological Survey Data Series 832. doi:10.3133/ds832.
- Funk, C., P. Peterson, M. Landsfeld, D. Pedreros, J. Verdin, S. Shukla, G. Husak, J. Rowland, L. Harrison, A. Hoell, and J. Michaelsen, 2015a. The climate hazards infrared precipitation with stations-a new environmental record for monitoring extremes. Scientific Data 2: 150066. doi:10.1038/sdata.2015.66.
- Funk, C., A. Verdin, J. Michaelsen, P. Peterson, D. Pedreros, and G. Husak, 2015b. A global satellite-assisted precipitation climatology. Earth System Science Data 7: 275-287. doi:10.5194/essd-7-275-2015.
- Gorenburg, I. P., D. McLaughlin, and D. Entekhabi, 2001. Scale-recursive assimilation of precipitation data. Advances in Water Resources 24(9-10): 941-953. doi:10.1016/S0309-1708(01)00033-1.
- Huffman, G. J., R. F. Adler, M. M. Morrissey, D. T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001. Global precipitation at one-degree daily resolution from multi satellite observations. Journal of Hydrometeorology 2(1): 36-50. doi:10.1175/1525-7541(2001)002<0036:GPAODD>2.0.CO;2.
- Husak, J. G., J. Michaelsen, and C. Funk, 2007. Use of the gamma distribution to represent monthly rainfall in Africa for drought monitoring applications. International Journal of Climatology 27(7): 935-944. doi:10.1002/joc.1441.
- Jang, H., N. Kang, H. Noh, D. R. Lee, C. Choi, and H. S. Kim, 2015. Applicability of spatial interpolation methods for the estimation of rainfall field. Journal of Wetlands Research 17(4): 370-379. doi:10.17663/JWR.2015.17.4.370.
- Jang, S., J. Rhee, S. Yoon, T. Lee, and K. Park, 2017. Evaluation of GPM IMERG applicability uisng SPI based satellite precipitation. Journal of the Korean Society of Agricultural Engineers 59(3): 29-39. doi:10.5389/KSAE.2017.59.3.029.
- Joyce, R., J. Janowiak, P. Arkin, and P. Xie, 2004. CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. Journal of Hydrometeorology 5(3): 487-503. doi:10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2.
- Katsanos, D., A. Retalis, and S. Michaelides, 2016. Validation of a high-resolution precipitation database (CHIRPS) over Cyprus for a 30-year period. Atmospheric Research 169:459-464. doi:10.1016/j.atmosres.2015.05.015.
- Kidd, C., D. R. Kniveton, M. C. Todd, and T. J. Bellerby, 2003. Satellite rainfall estimation using combined passive microwave and infrared algorithms. Journal of Hydrometeorology 4: 1088-1104. doi:10.1175/1525-7541(2003)004<1088:SREUCP>2.0.CO;2.
- Lee, H. J., W. H. Nam, D. H. Yoon, E. M. Hong, D. E. Kim, D. M. Svoboda, T. Tadesse, and B. D. Wardlow, 2019. Satellite-based Evaporative Stress Index (ESI) as an indicator of agricultural drought in North Korea. Journal of the Korean Society of Agricultural Engineers 61(3): 1-14. doi:10.5389/KSAE.2019.61.3.001.
- Lee, S. H., W. S. Ahn, W. S. Lee, J. H. Choi, and S. Y. Kim, 2017. Assessment of the usefulness of the machine performance check system that is an evaluation tools for the determination of daily beam output. Journal of the Korean Society for Radiotherapeutic Technology 29(2): 65-73.
- Lee, T., S. Kim, Y. Jung, and Y. Shin, 2018. Assessment of agricultural drought using satellite-based TRMM/GPM precipitation images: At the province of Chungcheongbukdo. Journal of the Korean Society of Agriculture Engineers 60(4): 73-82. doi:10.5389/KSAE.2018.60.4.073.
- Miao, C., J. Ni, and A. G. L. Borthwick, 2010. Recent changes of water discharge and sediment load in the Yellow River basin, China. Progress in Physical Geography 34(4):541-561. doi:10.1177/0309133310369434.
- Moon, J. W., C. G. Jung, and D. R. Lee, 2013. Parameter regionalization of Hargreaves equation based on climatological. Journal of Korea Water Resources Association 46(9):935-948. doi:10.3741/JKWRA.2013.46.9.933.
- Mun, Y. S., W. H. Nam, M. G. Jeon, T. Kim, E. M. Hong, M. J. Hayes, and T. Tadesse, 2019. Application of meteorological drought index using Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) based on global satellite-assisted precipitation products in Korea. Journal of the Korean Society of Agricultural Engineers 61(2): 1-11. doi:10.5389/KSAE.2019.61.2.001.
- Mun, Y. S., W. H. Nam, T. Kim, E. M. Hong, and C. Sur, 2020. Evaluation and comparison of meteorological drought index using multi-satellite based precipitation products in East Asia. Journal of the Korean Society of Agricultural Engineers 62(1): 85-95. doi:10.5389/KSAE.2020.62.1.085.
- Nam, W. H., M. J. Hayes, M. D. Svoboda, T. Tadesse, and D. A. Wilhite, 2015. Drought hazard assessment in the context of climate change for South Korea. Agricultural Water Management 160: 106-117. doi:10.1016/j.agwat.2015.06.029.
- Nam, W. H., E. M. Hong, J. Y. Choi, T. Kim, M. J. Hayes, and M. D. Svoboda, 2017. Assessment of the extreme 2014-2015 drought events in North Korea using weekly Standardized Precipitation Evapotranspiration Index (SPEI). Journal of the Korean Society of Agriculture Engineers 59(4): 65-74. doi:10.5389/KSAE.2017.59.4.065.
- Nam, W. H., T. Tadesse, B. D. Wardlow, M. J. Hayes, M. D. Svoboda, E. M. Hong, Y. A. Pachepsky, and M. W. Jang, 2018a. Developing the vegetation drought response index for South Korea (VegDRI-SKorea) to assess the vegetation condition during drought events. International Journal of Remote Sensing 39(5): 1548-1574. doi:10.1080/01431161.2017.1407047.
- Nam, W. H., G. A. Baigorria, E. M. Hong, T. Kim, Y. S. Choi, and S. Feng, 2018b. The fingerprint of climate change and urbanization in South Korea. Atmosphere 9: 273. doi:10.3390/atmos9070273.
- Shukla, S., A. McNally, G. J. Husak, and C. Funk, 2014. A seasonal agricultural drought forecast system for food-insecure regions of East Africa. Hydrology and Earth System Sciences 18(10): 3907-3921. doi:10.5194/hess-18-3907-2014.
- Sorooshian, S., K. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite, 2000. Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bulletin of the American Meteorological Society 81(9): 2035-2046. doi:10.1175/1520-0477(2000)081<2035:EOPSSE>2.3.CO;2.
- Sun, S., H. Chen, W. Ju, G. Wang, G. Sun, J. Huang, H. Ma, C. Gao, and W. Hua, 2017. On the coupling between precipitation and potential evapotranspiration: Contributions to decadal drought anomalies in the Southwest China. Climate Dynamics 48(11-12): 3779-3797. doi:10.1007/s00382-016-3302-5.
- Tote, C., D. Patricio, H. Boogaard, R. V. D. Wijngaart, E. Tarnavsky, and C. Funk, 2015. Evaluation of satellite rainfall estimates for drought and flood monitoring in Mozambique. Remote Sensing 7(2): 1758-1776. doi:10.3390/rs70201758.
- Verdin, A., B. Rajagopalan, W. Kleiber, and C. Funk, 2015. A Bayesian kriging approach for blending satellite and ground precipitation observations. Water Resources Research 51: 908-921. doi:10.1002/2014WR015963.
- Vila, D. A., L. G. G. de Goncalves, D. L. Toll, and J. R. Rozante, 2009. Statistical evaluation of combined daily gauge observations and rainfall satellite estimates over continental South America. Journal of Hydrometeorology 10(2): 533-543. doi:10.1175/2008JHM1048.1.
- Xie, P., and P. Arkin, 1997. Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bulletin of the American Meteorological Society 78(11): 2539-2558. doi:10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2.
- Xie, P., J. E. Janowiak, P. A. Arkin, R. Adler, A. Gruber, R. Ferraro, G. J. Huffman, and S. Curtis, 2003. GPCP pentad precipitation analyses: An experimental dataset based on gauge observations and satellite estimates. Journal of Climate 16(13): 2197-2214. doi:10.1175/2769.1.
- Yang, F., H. Lu, K. Yang, J. He, W. Wang, J. S. Wright, C. Li, M. Han, and Y. Li, 2017. Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China. Hydrology and Earth System Sciences 21(11): 5805-5821. doi:10.5194/hess-21-5805-2017.